the scientific preparation and monitoring of …€¦ · • lactate metabolism ... denver, co.;...
TRANSCRIPT
Iñigo San Millán, PhD
Assistant Professor of Family Medicine Department
Director, Exercise Physiology and Human Performance Laboratory
Anschutz Health and Wellness Center/CU Sports Medicine
University of Colorado School of Medicine
THE SCIENTIFIC PREPARATION AND MONITORING OF
THE ATHLETE
-The man who invented Management
-Father of Business Analytics
-Father of Modern Business Corporation
What Gets Measured, Gets Managed” –Peter Drucker
Peter Drucker
PERFORMANCE
Training
PhysiologyGenetics
Nutrition
Monitoring
Lifestyle Psychology
Health Injuries
Determinants of Performance
PERFORMANCE
Training
PhysiologyGenetics
Nutrition
Monitoring
Lifestyle Psychology
Health Injuries
HOW MANY ELEMENTS DO WE CONTROL???
????
????
????
????
????
???? ????
PERFORMANCE
Training
PhysiologyGenetics
Nutrition
Monitoring
Lifestyle Psychology
Health Injuries
HOW MANY ELEMENTS DO WE CONTROL???
Wrong Coaching
NO Physiological Testing
???
NO Monitoring
No Nutrition
No Psychology ????
PERFORMANCE
Training
Physiology Genetics
Nutrition
Monitoring
Lifestyle Psychology
Health Injuries
DETERMINANTS OF PERFORMANCE
Physiological Testing
The foundation of any scientific-based training program- Coaching 101
It is crucial to establish the physiological and metabolical parameters of each athlete in order to prescribe the most accurate and scientific-based training program. Evaluation of the “engine” of an athlete. Evaluation of the weak and strong points. Evaluation of quantity and quality of training
Physiological Testing- Coaching 101
• Lactate Metabolism •Fat metabolism •Carbohydrate Metabolism •VO2max • Metabolic Efficiency -Only with the evaluation of these parameters it is possible to establish an appropriate and Individual training program for an athlete - Otherwise, without testing…..We are guessing!
Main Parameters
Each Body is DIFFERENT!. We have DIFFERENT Metabolic parameters and training zones!!
INDIVIDUALIZATION is KEY
Each Body is DIFFERENT!. We have DIFFERENT Metabolic parameters and training zones!!
INDIVIDUALIZATION is KEY
INDIVIDUALIZATION is KEY
Central Adaptations Local Adaptations
IMPROVEMENT IN PERFORMANCE BUT NOT NECESSARILY IN VO2MAX
Professional 32 y.o. male cyclist
No
Improvement in
VO2max
Very important
Improvement in
Lactate Clearance
Capacity
In the Laboratory:
Kara Goucher
Physiological/Metabolic Testing
In the Field:
Ryder Hesjedal 2012 Tour of Italy (Giro) Winner
Tom Danielson 1st Stage 4 of US Pro Cycling Challenge 2012
Rory Sutherland Winner of Queen Stage of US Pro Cycling Challenge 2012
Physiological/Metabolic Testing
In the Field:
Physiological/Metabolic Testing
CU Football
Colorado Rapids
Local Adaptations Cellular Level
-The events happening at the cellular level ultimately make the difference -A mediocre cyclist can have the highest VO2max but not the best cellular adaptations to exercise
Muscle Lactate Metabolism
-Lactate Metabolism crucial in performance -Of all physiological and metabolic parameters it is the one that discriminates the most
FAT (FFA)
Muscle
Glucose
Muscle Lactate Metabolism
Skeletal Muscle Cell/Fiber
Glycogenolysis Glucose Lactate accumulation
[H+]
[H+]
Hydrogen Ions [H+].
[H+]
[H+]
Decreased pH (Acidosis)
Muscle Lactate Metabolism
Skeletal Muscle Cell/Fiber
Glycogenolysis Glucose Lactate accumulation
[H+]
[H+]
Hydrogen Ions [H+].
[H+]
[H+]
Decreased pH (Acidosis)
Interference and inhibition of muscle excitation-contraction coupling
Muscle Lactate Metabolism
Blood Lactate
Muscle
Liver, Heart, Skin, Kidneys…
Blood Glucose
Oxidation in Adjacent Cell/Fiber
Lactate
Lactate Piruvate
Glucose
Krebs Cycle
Lactate
Pyruvate
Muscle Lactate Metabolism World Class Runner vs College Level
Athlete
World Class College
7 mph 0.7 0.8
7.5 mph 0.7 0.9
8 mph 0.7 1.1
8.5 mph 0.7 1.2
9 mph 0.7 1.3
9.5 mph 0.8 1.9
10mph 0.95 2.5
10.5mph 1.12 3.5
11mph 1.3 4.7
11.5mph 1.9 6.8
12 mph 2.2 8.7
12.5mph 2.9
13.5mph 4.8
14.3mph 8.2
• WPC Criteria: - Tour de France, Italy and Spain winners or podium finishers. -World Champions. -UCI Pro Tour stage races or “classics” winners.
Muscle Lactate Metabolism
San Millán, I.; Gonzalez-Haro, C.; Sagasti, M. Physiological Differences Between Road Cyclists of Different Categories. A New Approach. Med Sci Sports Exerc 41:S48. 2009
Fat and Carbohydrates Oxidation
Fatty Acids can only be oxidized in the mitochondria, therefore Fat oxidation measurement is a good indicator of mitochondrial and oxidative capacity
Substrate Utilization
Substrate Utilization
CHO
FAT
FATmax Crossover Point
•San Millán, I.; Gotshall, R.W.; González-Haro, C.; Gil, J.; Irazusta, J. Sensitivity of Crossover Concept to Discriminate Different Levels of Performance: A New Approach. Med Sci Sports Exerc 40:293. 2008. •González-Haro, C.; San Millán, I. Application of the Crossover Concept to UCI Pro Tour Level Professional Cyclists: A New Approach. Med Sci Sports Exerc 40:396-397. 2008
0.17
0 0
0.75
1.84
2.09
0
0.5
1
1.5
2
2.5
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
109 130 147
Fat
Oxi
dat
ion
Rat
e (
g/m
in)
CH
O O
xid
atio
n R
ate
(g/
min
)
Heart Rate (b/min)
FAT and CHO Oxidation rates vs HR T
CHO Ox (g/min) Fat Oxidation (g/min)
• San Millan Lab
Recreational Athlete
World Class Athlete
• San Millan Lab
OVERTRAINING-THE GREAT UNKNOWN!!!
The assumption that a specific training plan will work is WRONG There are MANY recreational and elite athletes suffering from overtraining and most of them don’t even know it! Why? Most of them NEVER find out!. So most overtrained athletes are not diagnosed
PREVENTING OVERTRAINING IS KEY
Inigo San Millan, PhD, 2013
Factors involved in Overtraining
Excessive training Poor recovery and assimilation Improper Nutrition Psychological Stress
PRINCIPLES OF TRAINING
Overtraining
Many Athletes train more than what they can assimilate In many cases coaches and trainers don’t know how much training an athlete can assimilate It is essential to perform Physiological Testing throughout the season!.
Training Monitoring and Quantification
Training Monitoring and
Quantification
Training Monitoring and
Quantification
Monitoring of Overtraining
Essential to prevent Overtraining before it happens Diagnose Overtraining in time One of the most important tools for an elite athlete and Coach Essential to have a scientific and clinical approach The answer is in the blood There are many parameters in the blood indicators of many different physiological conditions
Important Biomarkers
- Hematological
- Biochemical
- Hormonal
- Serological
Hematological Monitorization Throughout the Season
About 200 Billion RBC’s are destroyed daily. So 200 Billion have to be replaced daily
Hematological Monitorization Throughout the Season
Healthy muscle Muscle Injury
Z-Lines
Sarcomere
Muscle Damage
Hematological Monitorization Throughout the Season Bolood Profiling
Muscle Injury
Hematological Monitorization Throughout the Season Bolood Profiling
Blood Flow
Biomarkers
Muscle Damage
Hematological Monitorization Throughout the Season Bolood Profiling
267
284 278
319
284
240
250
260
270
280
290
300
310
320
330
Day 1 Day5 Day 10 Day 15 Day 20
Average Free Radicals Accumulation*
Intervention Increased Antioxidants
Intervention Increased more Antioxidants
Intervention Increased Antioxidants
Intervention Increased more Antioxidants
3 hard Mountain Stages
Free Radicals and Antioxidant Capacity
Free Radicals and Antioxidant Capacity
Nutrition
In many cases, poor nutrition triggers overtraining Elements to watch out: -CARBOHYDRATES (CHO) - Vitamines (B-Complex, Folic Acid, Vit-D, A, E, C) - Iron - Antioxidants
Nutrition
The relationship of muscle glycogen content, work time and dietary carbohydrate intake (adapted from Borgström et al. 1967).
Scientific Study – Glycogen and Performance
Time to Exhaustion
Scientific Study – Glycogen and Performance
Scientific Study – Glycogen and Performance
Kenyan runners have dominated for decades and are the skinniest athletes in the world
Kenyan runners have dominated for decades and are the skinniest athletes in the world
Kenyan’s diets Energy Intake: 2987Kcal -Carbohydrates: 76.5%!!
-10.7g/kg/day!! -Fat: 13.4% -Protein: 10.1% -20% Simple sugars!! HIGH CHO and LOW FAT diet!!
Onywera, V.O. et al. Food and macronutrient intake of elite Kenyan distance runners. Int. J. Sport. Nutr. Exerc. Metab. 14: 709-719, 2004.
Carbohydrates during the Tour de France
Garmin Riders at TdF Total Energy Intake: 6000-9000 Kcal/day -Carbohydrates: 75-80% -About 1,000 g/day of CHO
-400g simple sugars!!! -4000 kcal/day of CHO
-1600 Kcal/day Simple Sugars! -13-14g/kg/day!!
TOUR de FRANCE PROVEN!!!
THE IMPORTANCE OF CHO AND GYCOGEN STORAGES
FAT (FFA)
Muscle
Glucose
THE IMPORTANCE OF CHO AND GYCOGEN STORAGES
Glycogen
Muscle
Glucose
Liver
The Importance of CHO and Gycogen Storages
Before exercise
After Exercise
THE IMPORTANCE OF CHO AND GYCOGEN STORAGES
Muscle Glycogen depleted
FAT
glycogen
Muscle Protein (Alanine, Glutamine,
BCAA’s)
During High Exercise intensities (Competition, hard training)
THE IMPORTANCE OF CHO AND GYCOGEN STORAGES
Muscle Glycogen depleted
glycogen
Catabolism
Healthy muscle Muscle Injury
Z-Lines
Sarcomere
Muscle Damage The Importance of CHO and Gycogen Storages
-Glycogenin disruption??
-Increased glucose uptake damaged
cell??
INDIRECT ASSESSMENT OF GLYCOGEN STATUS IN COMPETITIVE ATHLETES I. SAN MILLÁN1, C. GONZÁLEZ-HARO2, J. HILL, FACSM1, 1SCHOOL OF MEDICINE, UNIVERSITY OF COLORADO DENVER, DENVER, CO.; 2DEPARTMENT OF PHARMACOLOGY AND PHYSIOLOGY, SCHOOL OF MEDICINE, UNIVERSITY OF ZARAGOZA, SPAIN
CONCLUSION: The measurement of [La-]b max and CHOox max in competitive athletes could be a good and practical approach to indirectly evaluate glycogen status as well as to identify
suboptimal glycogen storages that can ultimately affect athletic performance.
RESULTS: The results of the present study sowed that 30% for men and 24% for women showed suboptimal [La-]b max (GS). The correlation
between [La-]b max and CHOox max was high in men (r=0.771, p<0.05) and low in women (r=0.373). In men, [La-]b max, CHOox max, and
RER max were significantly higher in GO vs. GS, whereas FATox max was significantly lower in GO vs. GS. In women, there were not found
significant differences neither in CHOox max nor in FATox max. Nevertheless [La-]b max, and RER max were significantly higher in GO vs. GS.
METHODS: 82 competitive men (28 professionals and 54 non-professionals) and 17 competitive carried out a bycicle ergometer test, starting at 2 W·kg-1 with
increments of 0.5 W·kg-1 until exhaustion, the duration of three first steps was 5 min, and then 10 min. Oxygen uptake (VO2) and carbon dioxide (VCO2) were
measured (ParvoMedics TrueOne 2400, Sandy, UT) throughout the test and blood lactate concentration ([La-]b) (YSI 1500, Yellow Springs Instruments, Ohio) at the
end of each step. [La-]b max was considered the value at the end of last step of exercise. Fat and carbohydrate oxidation rates (FATox and CHOox) were estimated
by means of Frayn’s equations. A cutoff of 1 SD respect to the ([La-]b max) was suggested in order to classify the subjects in two groups: GO (Optimal [La-]b max)
and GS (Suboptimal maximal [La-]b max) with [La-]b max of <5.27 mM in men and <4.00 mM in women respectively as the cutoff. A Student t-test for independent
data was used to compare groups, the determination of the Pearson correlation coefficient was used to verify the existence of relationships between variables, level
of statistical significance was set at p<0.05.
ACKNOWLEDGEMENTS: The authors would like to express their gratitude to all subjects for their cooperation in this study.
INTRODUCTION: Proper glycogen storage is of great importance for athletic performance. Multiple studies show the positive correlation between glycogen storage and performance. Nevertheless, glycogen
assessment is difficult to determine due to the invasive and impractical nature of muscle biopsies. Therefore, it is difficult to identify suboptimal glycogen levels in athletes. Throughout the measurements of maximal
blood lactate levels ([La-]b max) and maximal carbohydrate oxidation rates (CHOox max) it could be possible to indirectly estimate muscle glycogen status in competitive athletes and identify suboptimal glycogen
levels. The purpose of this study was to assess indirectly muscle glycogen status through measurement of [La-]b max and CHOox max.
Figure 1. [La-]b max, CHOox max, FATox max and RER max comparisons between both groups of men. *p<0.05,
***p<0.001.
Figure 2. [La-]b max, CHOox max, FATox max and RER max comparisons between both groups of women. *p<0.05, **p<0.01.
0
1
2
3
4
5
6
7
8
9
10
[La-]bmax CHOoxmax
[La- ]bm
ax(mM)&CHOoxm
ax(g·m
in-1) Women GO
GS
**
0.0
0.5
1.0
1.5
2.0
2.5
3.0
FAToxmax RERmax
FAToxm
ax(g·m
in-1)&RERm
ax
Women GO
GS
*
0
1
2
3
4
5
6
7
8
9
10
[La-]bmax CHOoxmax
[La- ]bm
ax(mM)&CHOoxm
ax(g·m
in-1) Men GO
GS***
***
0.0
0.5
1.0
1.5
2.0
2.5
3.0
FAToxmax RERmax
FAToxm
ax(g·m
in-1)&RERm
ax
Men GO
GS
* ***
INDIRECT ASSESSMENT OF GLYCOGEN STATUS IN COMPETITIVE ATHLETES I. SAN MILLÁN1, C. GONZÁLEZ-HARO2, J. HILL, FACSM1, 1SCHOOL OF MEDICINE, UNIVERSITY OF COLORADO DENVER, DENVER, CO.; 2DEPARTMENT OF PHARMACOLOGY AND PHYSIOLOGY, SCHOOL OF MEDICINE, UNIVERSITY OF ZARAGOZA, SPAIN
CONCLUSION: The measurement of [La-]b max and CHOox max in competitive athletes could be a good and practical approach to indirectly evaluate glycogen status as well as to identify
suboptimal glycogen storages that can ultimately affect athletic performance.
RESULTS: The results of the present study sowed that 30% for men and 24% for women showed suboptimal [La-]b max (GS). The correlation
between [La-]b max and CHOox max was high in men (r=0.771, p<0.05) and low in women (r=0.373). In men, [La-]b max, CHOox max, and
RER max were significantly higher in GO vs. GS, whereas FATox max was significantly lower in GO vs. GS. In women, there were not found
significant differences neither in CHOox max nor in FATox max. Nevertheless [La-]b max, and RER max were significantly higher in GO vs. GS.
METHODS: 82 competitive men (28 professionals and 54 non-professionals) and 17 competitive carried out a bycicle ergometer test, starting at 2 W·kg-1 with
increments of 0.5 W·kg-1 until exhaustion, the duration of three first steps was 5 min, and then 10 min. Oxygen uptake (VO2) and carbon dioxide (VCO2) were
measured (ParvoMedics TrueOne 2400, Sandy, UT) throughout the test and blood lactate concentration ([La-]b) (YSI 1500, Yellow Springs Instruments, Ohio) at the
end of each step. [La-]b max was considered the value at the end of last step of exercise. Fat and carbohydrate oxidation rates (FATox and CHOox) were estimated
by means of Frayn’s equations. A cutoff of 1 SD respect to the ([La-]b max) was suggested in order to classify the subjects in two groups: GO (Optimal [La-]b max)
and GS (Suboptimal maximal [La-]b max) with [La-]b max of <5.27 mM in men and <4.00 mM in women respectively as the cutoff. A Student t-test for independent
data was used to compare groups, the determination of the Pearson correlation coefficient was used to verify the existence of relationships between variables, level
of statistical significance was set at p<0.05.
ACKNOWLEDGEMENTS: The authors would like to express their gratitude to all subjects for their cooperation in this study.
INTRODUCTION: Proper glycogen storage is of great importance for athletic performance. Multiple studies show the positive correlation between glycogen storage and performance. Nevertheless, glycogen
assessment is difficult to determine due to the invasive and impractical nature of muscle biopsies. Therefore, it is difficult to identify suboptimal glycogen levels in athletes. Throughout the measurements of maximal
blood lactate levels ([La-]b max) and maximal carbohydrate oxidation rates (CHOox max) it could be possible to indirectly estimate muscle glycogen status in competitive athletes and identify suboptimal glycogen
levels. The purpose of this study was to assess indirectly muscle glycogen status through measurement of [La-]b max and CHOox max.
Figure 1. [La-]b max, CHOox max, FATox max and RER max comparisons between both groups of men. *p<0.05,
***p<0.001.
Figure 2. [La-]b max, CHOox max, FATox max and RER max comparisons between both groups of women. *p<0.05, **p<0.01.
0
1
2
3
4
5
6
7
8
9
10
[La-]bmax CHOoxmax
[La- ]bm
ax(mM)&CHOoxm
ax(g·m
in-1) Women GO
GS
**
0.0
0.5
1.0
1.5
2.0
2.5
3.0
FAToxmax RERmax
FAToxm
ax(g·m
in-1)&RERm
ax
Women GO
GS
*
0
1
2
3
4
5
6
7
8
9
10
[La-]bmax CHOoxmax
[La- ]bm
ax(mM)&CHOoxm
ax(g·m
in-1) Men GO
GS***
***
0.0
0.5
1.0
1.5
2.0
2.5
3.0
FAToxmax RERmax
FAToxm
ax(g·m
in-1)&RERm
ax
Men GO
GS
* ***
Glycogen Monitoring Muscle Biopsy
Very invasive and aggressive Impractical and not
possible to apply
Novel Methodology for Muscle Glycogen Content Assessment through Imagery Diagnosis
Hill, J. C., and San Millán, I. "Validation of musculoskeletal ultrasound to assess and quantify muscle
glycogen content. A novel approach." The Physician and sportsmedicine 42.3 (2014): 45-52.
PRO CYCLIST BEFORE AND AFTER MAXIMAL EXERTION (V02MAX TEST)
Pre-exercise cross section Quad Muscle
Post-exercise same muscle
Vein Vein
Hill, J. C., and San Millán, I. "Validation of musculoskeletal ultrasound to assess and quantify muscle
glycogen content. A novel approach." The Physician and sportsmedicine 42.3 (2014): 45-52.
Glycogen depletion pattern
Novel Methodology for Muscle
Glycogen Content Assessment through
High Frequency Ultrasound
© San Millan’s Lab
© San Millan’s Lab
Hill, J. C., and San Millán, I. "Validation of musculoskeletal
ultrasound to assess and quantify muscle glycogen content. A novel
approach." The Physician and sportsmedicine 42.3 (2014): 45-52.
CORRELATION RESULTS
Hill, J. C., and San Millán, I. "Validation of musculoskeletal ultrasound to assess and quantify muscle
glycogen content. A novel approach." The Physician and sportsmedicine 42.3 (2014): 45-52.
CORRELATION RESULTS
Hill, J. C., and San Millán, I. "Validation of musculoskeletal ultrasound to assess and quantify muscle
glycogen content. A novel approach." The Physician and sportsmedicine 42.3 (2014): 45-52.
Glycogen Content Regulates Muscle
Contraction
A 25% decrease in Glycogen in the legs
will decrease Ca++ release from SR by
a 10% !!
Glycogen Evolution Throughout the season
55
70 75 75
70
55
75 70 70 68.3
45
65 65
45
65
45
60
50
60 55.6
18.2
7.2
13.4
40
7.2
18.2 20
28.6
14.3 18.6
0
10
20
30
40
50
60
70
80
Torres Brown Burch Klute Labrocca Sanchez Watts Wynne Jose M Team Average
Glycogen Content Pre-PostGame
PRE Game Post Game % Change
© San Millan’s Lab
LOW CHO DIETS + COMPETITIVE TRAINING + COMPETITON = OVERTRAINING
MARGINAL GAINS. HOW IMPORTANT ARE THEY?
PERFORMANCE
Training
PhysiologyGenenitcs
Nutrition
Monitoring
Lifestyle Psychology
Health Injuries
HOW MANY ELEMENTS DO WE CONTROL???
????
????
????
????
????
???? ????
MARGINAL GAINS. HOW IMPORTANT ARE THEY?
- Scientific Training maximizes and utilizes all possible resources
- The Goal is to utilize 100% of genetic potential (“engine”)
- No Scientific Training= minimization and under-utilization of potential
- Overtraining is a great unknown affecting many cyclists and it should be assessed properly by a professional
- A true Scientific Training Necessary to make it to the next level
Summary
THANK YOU!
Iñigo San Millán, PhD
Assistant Professor of Family Medicine Department
Director, Exercise Physiology and Human Performance Laboratory
Anschutz Health and Wellness Center/CU Sports Medicine
University of Colorado School of Medicine